Adaptive neural backstepping control strategy of three-phase active power filter

Abstract

In this paper, an adaptive neural backstepping controller (ANBC) is proposed for three- phase active power filter (APF). An adaptive neural controller is developed to deal with the nonlinear APF system using backstepping method, improving the current tracking and increasing the power quality. The proposed radial basis function (RBF) neural network (NN) whose weights are adjusted online by the adaptive law is designed to approximate the nonlinear function of APF model. The proposed ANBC can realize the desired dynamic behavior and improve the robustness of the APF system. Simulations using MATLAB /SimPower Systems Toolbox demonstrate the high performance of the proposed adaptive neural backstepping control strategy.